{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:K22F3G27BS525GIWLLYSHYPNLP","short_pith_number":"pith:K22F3G27","schema_version":"1.0","canonical_sha256":"56b45d9b5f0cbbae99165af123e1ed5bd49589d92dd6e3447958baef3cf3a7c7","source":{"kind":"arxiv","id":"2504.00408","version":1},"attestation_state":"computed","paper":{"title":"From Intuition to Understanding: Using AI Peers to Overcome Physics Misconceptions","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.HC"],"primary_cat":"cs.CY","authors_text":"Denton Wu, Hannah Betts, Jean-Fran\\c{c}ois Godbout, Kellin Pelrine, Kushal Dev, Reihaneh Rabbany, Ruben Weijers, Tamara Jacod, Toshali Goel, Vidya Sujaya, William Delooze, Ying Wu, Yuxiang Guan","submitted_at":"2025-04-01T04:09:13Z","abstract_excerpt":"Generative AI has the potential to transform personalization and accessibility of education. However, it raises serious concerns about accuracy and helping students become independent critical thinkers. In this study, we designed a helpful AI \"Peer\" to help students correct fundamental physics misconceptions related to Newtonian mechanic concepts. In contrast to approaches that seek near-perfect accuracy to create an authoritative AI tutor or teacher, we directly inform students that this AI can answer up to 40% of questions incorrectly. In a randomized controlled trial with 165 students, thos"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2504.00408","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2025-04-01T04:09:13Z","cross_cats_sorted":["cs.AI","cs.HC"],"title_canon_sha256":"ad8762c46518ec3bfdbc2030af0437680c13f92cf5ca6a2ffab2b9947651de46","abstract_canon_sha256":"df92a5798bdf9b222f31bda15d8a1d94d6298a0da548cdfd8fb19d6f4f10f627"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:42:25.829853Z","signature_b64":"xF5vkyew30UJsjMcDBY7ECkbRYTn1HYJXL1QE7XdE8IzUGD5cuN5wUkq17Xs6Wm7pQyXK4KD92wVxcZ2TuqfBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"56b45d9b5f0cbbae99165af123e1ed5bd49589d92dd6e3447958baef3cf3a7c7","last_reissued_at":"2026-07-05T10:42:25.829361Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:42:25.829361Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"From Intuition to Understanding: Using AI Peers to Overcome Physics Misconceptions","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.HC"],"primary_cat":"cs.CY","authors_text":"Denton Wu, Hannah Betts, Jean-Fran\\c{c}ois Godbout, Kellin Pelrine, Kushal Dev, Reihaneh Rabbany, Ruben Weijers, Tamara Jacod, Toshali Goel, Vidya Sujaya, William Delooze, Ying Wu, Yuxiang Guan","submitted_at":"2025-04-01T04:09:13Z","abstract_excerpt":"Generative AI has the potential to transform personalization and accessibility of education. However, it raises serious concerns about accuracy and helping students become independent critical thinkers. In this study, we designed a helpful AI \"Peer\" to help students correct fundamental physics misconceptions related to Newtonian mechanic concepts. In contrast to approaches that seek near-perfect accuracy to create an authoritative AI tutor or teacher, we directly inform students that this AI can answer up to 40% of questions incorrectly. In a randomized controlled trial with 165 students, thos"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.00408","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2504.00408/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2504.00408","created_at":"2026-07-05T10:42:25.829416+00:00"},{"alias_kind":"arxiv_version","alias_value":"2504.00408v1","created_at":"2026-07-05T10:42:25.829416+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.00408","created_at":"2026-07-05T10:42:25.829416+00:00"},{"alias_kind":"pith_short_12","alias_value":"K22F3G27BS52","created_at":"2026-07-05T10:42:25.829416+00:00"},{"alias_kind":"pith_short_16","alias_value":"K22F3G27BS525GIW","created_at":"2026-07-05T10:42:25.829416+00:00"},{"alias_kind":"pith_short_8","alias_value":"K22F3G27","created_at":"2026-07-05T10:42:25.829416+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2508.14823","citing_title":"Using an LLM to Investigate Students' Explanations on Conceptual Physics Questions","ref_index":21,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/K22F3G27BS525GIWLLYSHYPNLP","json":"https://pith.science/pith/K22F3G27BS525GIWLLYSHYPNLP.json","graph_json":"https://pith.science/api/pith-number/K22F3G27BS525GIWLLYSHYPNLP/graph.json","events_json":"https://pith.science/api/pith-number/K22F3G27BS525GIWLLYSHYPNLP/events.json","paper":"https://pith.science/paper/K22F3G27"},"agent_actions":{"view_html":"https://pith.science/pith/K22F3G27BS525GIWLLYSHYPNLP","download_json":"https://pith.science/pith/K22F3G27BS525GIWLLYSHYPNLP.json","view_paper":"https://pith.science/paper/K22F3G27","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2504.00408&json=true","fetch_graph":"https://pith.science/api/pith-number/K22F3G27BS525GIWLLYSHYPNLP/graph.json","fetch_events":"https://pith.science/api/pith-number/K22F3G27BS525GIWLLYSHYPNLP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/K22F3G27BS525GIWLLYSHYPNLP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/K22F3G27BS525GIWLLYSHYPNLP/action/storage_attestation","attest_author":"https://pith.science/pith/K22F3G27BS525GIWLLYSHYPNLP/action/author_attestation","sign_citation":"https://pith.science/pith/K22F3G27BS525GIWLLYSHYPNLP/action/citation_signature","submit_replication":"https://pith.science/pith/K22F3G27BS525GIWLLYSHYPNLP/action/replication_record"}},"created_at":"2026-07-05T10:42:25.829416+00:00","updated_at":"2026-07-05T10:42:25.829416+00:00"}